Hao Shen 0001

dblp:26/2210-1 · DBLP profile ↗
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14ranked-venue papers in the field
4as first author
12since 2021 · last 2026
0000-0001-7024-6573ORCID · conflict

Domains — venue-derived; a paper can count in several

Knowledge Engineering, Semantic Web & Information Systems · 13 (4 first)Database Systems & Data Management · 1
YearPublicationVenuePosition
2026 IncepFold: A Deep Learning Framework for 3D Genome Prediction in Diverse Plant Species
Hao Shen 0001, Pengcheng Deng, Zhengchang Wang, Maojun Wang
DASFAA (3)2
2026 Sampled-data stabilization via novel looped-functional for fuzzy singular Markov jump system and its applications
Xingyue Liang, Jianwei Xia, Hao Shen 0001
Inf. Sci.3
2025 Event-triggered sliding mode control for interval type-2 fuzzy interconnected systems under Markov-model-based hybrid cyberattacks
abstract
This paper studies the event-triggered sliding mode control problem for interval type-2 fuzzy interconnected systems under hybrid cyberattacks modeled by Markov processes. Under the framework of an interval type-2 fuzzy model, the nonlinear relationship in the interconnected system is modeled and analyzed, and a fuzzy sliding mode controller is designed which can effectively resist hybrid cyberattacks. To rationally utilize limited channel resources, a decentralized event-triggered mechanism is used to reduce unnecessary information transmission. By constructing a Lyapunov function, some criteria are deduced to ensure that the closed-loop system is stochastically passive and the reachability of the designed sliding area is guaranteed. Finally, a four-area networked interconnected system is used to verify the effectiveness of the decentralized fuzzy sliding mode control strategy.
Xiulin Wang, Feng Li 0009, Sang-Moon Lee 0001, Hao Shen 0001
Inf. Sci.4
2024 Multi-group consensus of multi-agent systems subject to semi-Markov jump topologies against hybrid cyber-attacks
Duomei Li, Feng Li 0009, Jianwei Xia, Xihong Fei, Hao Shen 0001
Inf. Sci.5
2024 Nonzero-sum games using actor-critic neural networks: A dynamic event-triggered adaptive dynamic programming
Hao Shen 0001, Jing Wang 0071, Jinde Cao
Inf. Sci.1
2024 Q-learning-based non-zero sum games for Markov jump multiplayer systems under actor-critic NNs structure
Yun Wang 0025, Jiawei Xia, Jing Wang 0071, Hao Shen 0001
Inf. Sci.4
2024 Dynamic event-triggered-based adaptive fuzzy optimized control for slowly switched nonlinear system with intermittent state constrains
Jing Zhang 0108, Chengyuan Yan, Jianwei Xia, Hao Shen 0001, Xiangpeng Xie 0001
Inf. Sci.4
2023 Using partial sampled-data information for synchronization of chaotic Lur'e systems and its applications: an interval-dependent functional method
Yingjie Fan 0003, Zhen Wang 0008, Xia Huang 0002, Hao Shen 0001
Inf. Sci.4
2023 Distributed consensus for nonlinear multi-agent systems with two-time-scales: A hybrid reinforcement learning consensus algorithm
Chuanjun Peng, Jianwei Xia, Jing Wang 0071, Hao Shen 0001
Inf. Sci.4
2023 Non-fragile output feedback control for PDT-switched fuzzy systems under weighted try-once-discard protocol and its application
abstract
In this work, the non-fragile output feedback control problem is discussed for persistent dwell-time switched nonlinear systems . In order to make full use of the bandwidth in communication networks, the weighted try-once-discard protocol is adopted to connect only one sensor with communication networks at a instant via the maximum-error-first policy. It is worth noticing that via using the weighted try-once-discard protocol, the information received by the controller becomes less such that the gains of the controller may be more susceptible to the internal and external environment. Therefore, the non-fragile output-feedback fuzzy control scheme is employed for maintaining the performance of controllers under such a protocol. Then, based on suitable augmented multiple Lyapunov-like functions, sufficient conditions are derived to ensure the stochastically globally uniform exponential stability and a fixed H ∞ performance for the resulted closed-loop system. Furthermore, through solving those conditions, the design approach of the desired controller can be developed. The feasibility of the established approach is illustrated via a example and a truck-trailer model.
Hao Shen 0001, Xinmiao Liu, Jing Wang 0071, Kaibo Shi
Inf. Sci.1
2021 Finite-time energy-to-peak fuzzy filtering for persistent dwell-time switched nonlinear systems with unreliable links
Hao Shen 0001, Xinmiao Liu, Jianwei Xia, Xiangyong Chen, Jing Wang 0071
Inf. Sci.1
2021 Distributed H∞ state estimation for switched sensor networks with packet dropouts via persistent dwell-time switching mechanism
Jing Wang 0071, Jianwei Xia, Ju H. Park 0001, Hao Shen 0001
Inf. Sci.5
2016 Finite-time l2-l∞ tracking control for Markov jump repeated scalar nonlinear systems with partly usable model information
Hao Shen 0001, Feng Li 0009, Zhengguang Wu, Ju H. Park 0001
Inf. Sci.1
2008 Robust H∞ control for uncertain fuzzy systems with distributed delays via output feedback controllers
Xiaona Song, Shengyuan Xu 0001, Hao Shen 0001
Inf. Sci.3